1. Establish market context for our client’s product.
ENGINE’s Accelerated Intelligence team conducted product deep dives for our client’s top competitor products. We performed the same market analysis on our client’s product to create full benchmarking comparisons.
3. Quantify the post-purchase product experience journey
After going deep into customer expectations and experience with our client’s and competitor’s products, we put the findings into context. In this phase, we gathered post-purchase customer experience data using a 12-minute online survey. A total of 500 interviews were completed with purchasers of our client’s product and that of four key competitors.
With the post-purchase journey touchpoints identified and quantified, ENGINE used predictive analytics to determine the key drivers of post-purchase product satisfaction and recommendation.
2. Map the post-purchase customer journey.
Utilizing our online digital community platform, ENGINE Hives, we recruited competitor and client customers as well as a group of customers who were in the market/shopping this specific product category.
4. Take action on the knowledge we gained via targeted marketing
ENGINE Audiences isolates customer behavioral, attitudinal, and demographics characteristics from those who purchased our client’s product
ENGINE created two targeted audiences to increase overall sales